AI user research platform for continuous discovery.

Diaform conducts adaptive research conversations, probes beyond first answers, and organizes each completed response—without adding calls to your calendar.

14-day free trial · No demo required

Why user research still bottlenecks product teams

The tools your team has to choose between weren't built for continuous discovery.

01

Moderated conversations don't scale

Scheduling, no-shows, and note-taking limit even dedicated researchers to a handful of conversations each week.

02

Surveys stop at the first answer

Surveys capture the first answer, but cannot ask what happened, why it mattered, or what the user tried next.

03

Finding the patterns takes too long

Reviewing every conversation and pulling out recurring themes can take longer than conducting the conversations.

Get the depth of a one-to-one conversation from every participant

Diaform follows each answer with the right question, uncovering the context, motivations, and trade-offs your team needs—without adding another call to the calendar.

Orbital Analytics
01

Probes for the why

Static forms accept vague answers. Diaform spots them and asks intelligent follow-up questions to uncover the root cause.

02

Dynamic & Adaptive

Real conversations can unfold in infinite, unpredictable directions — too many to map into a logic tree. Diaform doesn't build one; it just responds to each answer naturally, the way a person would.

03

Zero-Friction Launch

No login walls or scheduling links. Your audience starts instantly in their browser. No signup required. Works on any device.

What Diaform gives your research team

An AI user research platform built for continuous, always-on discovery.

01

AI agent with real probing

When a participant writes "the onboarding was confusing," the AI asks which step, what they expected, and what they tried next. Every study runs with a trained moderator inside it.

02

Voice or text, on any device

Participants join through a single link in their browser. They can type, or speak naturally with a human-sounding voice that follows up like a real researcher.

03

Structured analysis per response

Every completed session returns per-question summaries, sentiment and confidence labels, optional notable quotes, and the original message history for verification.

04

Context-aware conversations

Upload product briefs, roadmaps, or support docs. The AI answers participant questions mid-conversation using your own knowledge, not a generic chatbot response.

05

Trigger research at the moment of truth

Drop the link in email, in-app, or a Slack channel for beta users. Because there's no scheduling, you can capture signal while the experience is still fresh.

06

30+ languages, native tone

Run global research without translating study guides. The AI mirrors tone, follows up naturally, and summarizes every session in English so your team can still act on it.

How AI-led user research works

A workflow that fits between a planning meeting and a standup, not between two sprints.

  1. 01

    Brief the AI researcher

    Write your research questions, add product context (roadmap, briefs, FAQs), and pick a tone. You're not writing a survey, you're briefing a junior researcher.

  2. 02

    Share one link

    Drop the link in email, in-app, churn flows, or a beta invite. Every participant launches their own 1:1 session in-browser. No account required.

  3. 03

    The AI runs the conversation

    It asks follow-ups, adapts to what each person says, enforces your question list, and handles objections. It even responds to participant questions using your uploaded context.

  4. 04

    See the patterns, not a pile of transcripts

    As soon as a session ends, you get a clear summary, sentiment and confidence labels, and optional notable quotes. Search or export the response set when you need cross-study analysis.

Studies you can run this week

The same platform covers everything from lightweight pulses to deep discovery work.

01

Product discovery & JTBD

Understand the job customers are hiring your product to do. The AI probes the trigger, the alternatives considered, and the moment of decision, the anatomy of a JTBD conversation, at scale.

02

Concept and messaging testing

Share a concept, a landing page, or a positioning statement. The AI runs structured reactions with real customers and returns the objections before you ship.

03

Usability studies

Trigger research at the moment of friction, post-checkout, after a failed task, during onboarding. Catch the UX issues a survey would miss.

04

Churn and cancel-intent research

When someone cancels, a form says thanks. An AI agent gets the real reason, and sometimes a saveable objection your CS team can act on.

05

Customer panel pulses

Keep a 50-customer panel engaged year-round. Fire off a 3-question study any time the team needs directional signal, and get a brief by end of week.

06

Beta and early-access feedback

Ship a feature flag, send the beta group a link, and get moderated feedback from every user, not just the five who bothered to fill out the survey.

Static research tools vs. AI user research

Most teams are stuck choosing between depth and volume. An AI user research platform doesn't make you choose.

Static surveys and recruit-and-schedule platforms

  • Respondents give one-line answers and move on
  • Moderated sessions cap at a handful per week
  • Transcripts sit in Notion and never get synthesized
  • Branching logic can't cover what users actually say
  • Time-to-insight measured in weeks

Diaform, AI-led research

  • Follow-ups probe the real reason behind every answer
  • Dozens of rich conversations running in parallel
  • Every session summarized with sentiment and evidence
  • The AI adapts to unexpected answers, no flowcharts
  • Time-to-insight measured in days

Frequently asked questions.

The practical details behind setting up, running, and scaling this kind of research with Diaform.

AI user research uses an AI agent to conduct a structured qualitative conversation. It can ask follow-up questions based on each answer and return the transcript with per-response summaries, sentiment, answer confidence, and optional notable quotes for human review.

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